Instructions to use sevenfeedback7/APES-ORACLE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use sevenfeedback7/APES-ORACLE with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("sevenfeedback7/APES-ORACLE", set_active=True) - Notebooks
- Google Colab
- Kaggle
|
Download README.md from sevenfeedback7/APES-ORACLE: direct link, hf CLI and curl.
- Browser
- Download file 232 Bytes
-
https://huggingface.co/sevenfeedback7/APES-ORACLE/resolve/main/README.md
- Command line
-
hf download hf://sevenfeedback7/APES-ORACLE/README.md
-
curl -L -o README.md https://huggingface.co/sevenfeedback7/APES-ORACLE/resolve/main/README.md
232 Bytes
| license: llama3.3 | |
| metrics: | |
| - bleu | |
| - cer | |
| - character | |
| - code_eval | |
| - chrf | |
| - accuracy | |
| - bertscore | |
| - bleurt | |
| base_model: | |
| - deepseek-ai/DeepSeek-R1 | |
| - deepseek-ai/Janus-Pro-7B | |
| - tencent/Hunyuan3D-2 | |
| library_name: adapter-transformers | |